Fast electronic digital image stabilization
We present a fast implementation of an electronic digital image stabilization system that is able to handle large image displacements. The system has been implemented in a parallel pipeline image processing hardware (Datacube Max Video 200) connected to a SUN SPARCstation 20/612. Our technique is ba...
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Published in | Proceedings of 13th International Conference on Pattern Recognition Vol. 3; pp. 284 - 288 vol.3 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
1996
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Subjects | |
Online Access | Get full text |
ISBN | 9780818672828 081867282X |
ISSN | 1051-4651 |
DOI | 10.1109/ICPR.1996.546956 |
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Abstract | We present a fast implementation of an electronic digital image stabilization system that is able to handle large image displacements. The system has been implemented in a parallel pipeline image processing hardware (Datacube Max Video 200) connected to a SUN SPARCstation 20/612. Our technique is based on a 2D feature-based multi-resolution motion estimation algorithm, that tracks a small set of features to estimate the motion of the camera. The combination of the estimates from a reference frame is used to warp the current frame in order to achieve stabilization. Experimental results using video sequences taken from a camera mounted on a moving vehicle demonstrate the robustness of the system when processing 15 frames per second. |
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AbstractList | We present a fast implementation of an electronic digital image stabilization system that is able to handle large image displacements. The system has been implemented in a parallel pipeline image processing hardware (Datacube Max Video 200) connected to a SUN SPARCstation 20/612. Our technique is based on a 2D feature-based multi-resolution motion estimation algorithm, that tracks a small set of features to estimate the motion of the camera. The combination of the estimates from a reference frame is used to warp the current frame in order to achieve stabilization. Experimental results using video sequences taken from a camera mounted on a moving vehicle demonstrate the robustness of the system when processing 15 frames per second. |
Author | Morimoto, C. Chellappa, R. |
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Snippet | We present a fast implementation of an electronic digital image stabilization system that is able to handle large image displacements. The system has been... |
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StartPage | 284 |
SubjectTerms | Cameras Digital images Hardware Image processing Motion estimation Pipelines Sun Tracking Vehicles Video sequences |
Title | Fast electronic digital image stabilization |
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